Volume 7 Supplement 1
Algorithms to prescribe Schroth exercises for each of four Schroth curve types
© Watkins et al; licensee BioMed Central Ltd. 2012
Published: 27 January 2012
Systematic reviews have shown that most exercise studies for scoliosis treatment lacked standardization of exercise prescription. Schroth exercise prescription is based on scoliosis curve type with specific exercises designed to target different aspects of the spinal curve and different areas of the body. The intensity of exercises is increased based on patient capacity. There may be dose dependant and exercise specific effects, therefore it is important to adopt a standardized method of prescription, especially in clinical research trials.
Goal: To describe prescription algorithms and a performance checklist for standardizing Schroth exercise treatment based on instructions in the Schroth training.
Materials and methods
Prescription algorithms to guide progression in intensity and from isometric to dynamic exercises were developed by two Schroth-certified therapist-researchers and a physiotherapy professor. Intensity increases by dosage and by exercise type - from gravity assisted postural shifts to active postural shifts against gravity. The performance checklist was developed to ensure adequate exercise performance based on key Schroth principles of breathing and autocorrection.
An exercise prescription algorithm has been designed for each of the four Schroth curve types. The patient begins with the “Sitting-on-a-ball” exercise. If performance assessed using the proposed checklist is adequate, the next exercise in the algorithm is attempted. Otherwise, the patient attempts the easier exercise. Adequate performance at start intensity as rated by the checklist, leads to dosage increase to target intensity.
The proposed algorithms and performance checklist will be used to standardize exercise prescription in a randomized control trial.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.